Overview: Amazon Web Services (AWS) is seeking an experienced Physical Design Engineer to join the Cloud-Scale Machine Learning Acceleration team. This role focuses on designing and optimizing hardware for AWS data centers, particularly for the AWS Inferentia machine learning inference product. The position demands high standards and a commitment to improving product performance, quality, and cost in a fast-paced environment.
Read MoreOverview: Amazon Web Services (AWS) is seeking an experienced ASIC Design Engineer to join the Cloud-Scale Machine Learning Acceleration team. This role focuses on the design and optimization of hardware for AWS data centers, particularly the AWS Inferentia server, which is crucial for machine learning inference. The ideal candidate will contribute to innovative technologies while ensuring high design quality and effective trade-offs in performance, power consumption, and area requirements.
Read MoreOverview: Join the AWS Utility Computing (UC) team, where you will contribute to the development and management of innovative cloud services, including Compute, Database, Storage, IoT, and more. As part of Annapurna Labs, you will work on cutting-edge silicon and software solutions that empower customers to tackle unprecedented challenges in cloud computing. AWS is committed to fostering a diverse and inclusive work environment, promoting work-life balance, and providing opportunities for mentorship and career growth.
Read MoreOverview: Amazon Leo is developing a low Earth orbit satellite network aimed at providing reliable internet connectivity to underserved areas. The role involves working on digital chip SOCs for communication systems, focusing on innovative wireless solutions without legacy constraints.
Read MoreOverview: Qualcomm Technologies, Inc. is seeking a Verification Engineer to join its Engineering Group focused on Video Systems and Hardware Architecture. The role involves collaborating with architects, ASIC designers, and software engineers to verify and validate multimedia subsystems for integration into mobile SoCs, particularly in the realm of Computer Vision hardware IP.
Read MoreOverview: Amazon Web Services (AWS) is seeking a Senior SoC Power Engineer to join the Machine Learning Acceleration (MLA) team within the Utility Computing (UC) organization. This role focuses on power analysis and modeling for the Inferentia and Trainium SoCs, which are essential for AI workloads globally. The engineer will collaborate with various teams to optimize power consumption and enhance the performance of machine learning accelerators.
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